Senior Python Developer

What does your next dream challenge look like?How about working with aircraft data on a state of the art, cloud native technology stack, powering predictive maintenance analytics?TasksWe’re looking for someone to join our team of data engineers, developing new data pipelines and scaling the existing ones for a growing number of customers and use cases.We’re using technologies like Python, Terraform, Kubernetes and Pub/Sub to run event?based data pipelines, processing millions of new data points every day on the Google Cloud Platform.We’re rolling out new features multiple times a day through fully automated Infrastructure as Code and CI/CD pipelines, including code reviews and automated tests.We take responsibility for the full DevOps cycle, but thanks to managed cloud services and automation, we spend most of our time actually working on new features and architecture optimisations.And if this sounds like an exciting environment to work in, we haven’t even mentioned benefits like standby flying for your work/life balance yet.Let’s talk!RequirementsThe ideal Senior Python Developer must fulfill the following requirements:Completed degree in computer science or related subjectMin. 4 years of experience in data engineering (setting up & operating data pipelines in big data/analytics environments)Min. 2 years of experience with one or more of the major cloud providers (ideally GCP)Experience in software development with Python, knowledge of tools such as Jupyter, VS Code, PyCharm, git, virtual environments, CLIKnowledge of automated testing, CI/CD, build pipelines, monitoringConfident application of DevOps/SRE principlesExperience with technologies such as Kubernetes/OpenShift, Docker, SQL/NoSQL databases, messaging, Airflow, Apache BeamKnowledge of event driven architectures beneficialCV/Resume & Cover Letter requiredMust possess a legal work permit in SpainCompany will not provide relocation assistance#J-*****-Ljbffr

The ideal Senior Python Developer must fulfill the following requirements: Completed degree in computer science or related subject Min. 4 years of experience in data engineering (setting up & operating data pipelines in big data/analytics environments) Min. 2 years of experience with one or more of the major cloud providers (ideally GCP) Experience in software development with Python, knowledge of tools such as Jupyter, VS Code, PyCharm, git, virtual environments, CLI Knowledge of automated testing, CI/CD, build pipelines, monitoring Confident application of DevOps/SRE principles Experience with technologies such as Kubernetes/OpenShift, Docker, SQL/NoSQL databases, messaging, Airflow, Apache Beam Knowledge of event driven architectures beneficial CV/Resume & Cover Letter required Must possess a legal work permit in Spain

Madrid, España

What does your next dream challenge look like? How about working with aircraft data on a state of the art, cloud native technology stack, powering predictive maintenance analytics? Tasks We’re looking for someone to join our team of data engineers, developing new data pipelines and scaling the existing ones for a growing number of customers and use cases. We’re using technologies like Python, Terraform, Kubernetes and Pub/Sub to run event?based data pipelines, processing millions of new data points every day on the Google Cloud Platform. We’re rolling out new features multiple times a day through fully automated Infrastructure as Code and CI/CD pipelines, including code reviews and automated tests. We take responsibility for the full DevOps cycle, but thanks to managed cloud services and automation, we spend most of our time actually working on new features and architecture optimisations. And if this sounds like an exciting environment to work in, we haven’t even mentioned benefits like standby flying for your work/life balance yet.